You will get an audited, hardened AI agent with a reusable evaluation harness
Project details
You will get a clear, evidence-based answer to one question: is your AI agent actually correct, and can you prove it. I run agents in production at Redblock, where I built the eval harnesses that gate every release, so I know the difference between a demo that looks fine and a system you can trust.
Depending on the tier, I audit your agent and hand you a scorecard with the real failure modes and a prioritized fix list, build a reusable evaluation harness wired to your agent with a pass or fail regression gate, or wire that gate into CI so every future release is checked automatically. I move deterministic work out of the model and into code, calibrate guardrails against real data, and report honest metrics: correctness, abort rate, latency, and cost per resolved turn. You end up with a reliability baseline and the tooling to hold it.
Depending on the tier, I audit your agent and hand you a scorecard with the real failure modes and a prioritized fix list, build a reusable evaluation harness wired to your agent with a pass or fail regression gate, or wire that gate into CI so every future release is checked automatically. I move deterministic work out of the model and into code, calibrate guardrails against real data, and report honest metrics: correctness, abort rate, latency, and cost per resolved turn. You end up with a reliability baseline and the tooling to hold it.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AIOps, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging Face, PyTorchAI Models
GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,200
|
Advanced
$2,800
|
|---|---|---|---|
| Delivery Time | 5 days | 12 days | 21 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - |
About Apurwa
AI Product Lead | Artificial Intelligence, LLM, API, Web
Bengaluru, India - 3:59 am local time
As Founding Product Lead for Redblock's AI Studio, I took browser agents from zero to production across 4 banks and enterprises, converted POCs into $1M in year-one revenue, and built the eval harnesses that gate every agent release (workflow accuracy, safe tool use, regression testing). Before that I launched India's first pre-onboarding AI fraud score, $4M ARR, 170K+ fraudulent accounts caught, $12M in fraud losses prevented and I'm hands-on in Python and SQL.
I can help you with:
- AI agents & browser/computer-use automation: design, build, and harden agents that actually hold up in production
- Agent evaluation & reliability: reusable eval harnesses, benchmarks, LLM-as-judge, failure-mode analysis, regression gating
- LLM apps & integration: RAG, tool use, MCP servers, Claude Code / agentic coding workflows
- AI product & strategy: 0→1 roadmap, PRDs, pricing, enterprise GTM, PMF experimentation
- Fraud & risk scoring: decisioning engines, risk features, threshold tuning
I ship side projects end-to-end (open-source MCP servers, a live browser-agent chat app, an agent security-assurance layer), so I speak both product and code. IIT Roorkee, Electrical Engineering.
Tell me what you're trying to ship and I'll tell you exactly how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Apurwa can start the project.
Delivery time starts when Apurwa receives requirements from you.
Apurwa works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff and access
I review your agent, its code or a demo, and your current setup, and we agree on what correct looks like for your top workflows.
Audit and baseline
I build a labeled eval set on your real traffic and hand you a scorecard with the top failure modes and a prioritized fix list.